Titlebook: China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I; Jiadong Sun,Jingnan Liu,Feixue Wang Conference proceedings 2016 S

蛰伏

The Satellite Selection Algorithm of GNSS Based on Neural Networkng. Calculating all visible satellite not only makes the hardware design of the receiver harder, but also can’t guarantee to improve the accuracy of the positioning results, so it is significant to take a certain satellite selection algorithm to the visible satellites optimization. The traditional o

Fester

gentle

A New Modified Method for Cycle-Slips Detection Based on Polynomial Fitting Method But, this method is influenced by the observation errors and sampling rates. In this contribution, the polynomial fitting method and the Newton interpolation method are combined to solve those influences. In this paper, we introduce the new method theory and its mathematical model. Finally a test i

vibrant

Chipmunk

Comparative Analysis of Different Filtering Methods for the Tight Integration of GPS and Strong-Moting state and the baseline shift is much important and also difficult for the data solution. In this paper, the experienced CA/CV models and improved CA/CV models are analyzed, and some meaningful conclusions are got from the results comparison of different validations.

Hiatus

怕失去钱

Using the BDS-R Signal for Soil Moisture Estimatione sensing. Soil moisture (SM) estimation by using the BD GEO signals are more favorable than the GPS signals, since the fixed elevation angle, the fixed height of orbit, the fixed satellite coverage. In this study, the principle of SM measuring by BDS-R is described. First the signal-to-noise ratio

上坡

The Potential to Estimate Soil Moisture Based on sn_rnx Data estimation is an emerging technology in microwave remote sensing since soil moisture is an important index in regional water cycle research. Based on the developed forward multipath model, this study first investigates the feasibility of soil moisture estimation based on GNSS interference signals;

容易做

Comparative Analysis of Different Filtering Methods for the Tight Integration of GPS and Strong-Moting state and the baseline shift is much important and also difficult for the data solution. In this paper, the experienced CA/CV models and improved CA/CV models are analyzed, and some meaningful conclusions are got from the results comparison of different validations.

小淡水鱼